external/trailofbits-security/building-secure-contracts/skills/cosmos-vulnerability-scanner/SKILL.md
Scans Cosmos SDK blockchain modules and CosmWasm contracts for consensus-critical vulnerabilities — chain halts, fund loss, state divergence. 25 core + 16 IBC + 10 EVM + 3 CosmWasm patterns. Use when auditing custom x/ modules, reviewing IBC integrations, or assessing pre-launch chain security. Updated for SDK v0.53.x.
npx skillsauth add seikaikyo/dash-skills cosmos-vulnerability-scannerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Scan Cosmos SDK modules and CosmWasm contracts for vulnerabilities that cause chain halts, consensus failures, or fund loss. Spawns parallel scanning agents — each specializing in a vulnerability category — that return findings to the main skill, which then writes them as individual markdown files to an output directory.
Output directory: defaults to .bughunt_cosmos/. If the user specifies a different directory in their prompt, use that instead.
x/ modules)go.mod versions before applying patterns.Entry: Target codebase path provided by user. Codebase contains Go source (e.g., x/ modules, go.mod) or Rust contracts with cosmwasm_std.
Run a synchronous subagent (Agent tool) with the full contents of DISCOVERY.md as its prompt. The agent must:
PLATFORM: pure-cosmos | evm | wasm (pick one; if multiple, comma-separated)
IBC_ENABLED: true | false
SDK_VERSION: <version from go.mod>
IBC_GO_VERSION: <version from go.mod, or "n/a">
CUSTOM_MODULES: <comma-separated list of x/* modules>
After the subagent returns, you (the main skill) Write the CLAUDE.md to the target repo root. Save its path and the discovery values — these feed into Phase 2.
Exit: CLAUDE.md written by main skill. PLATFORM, IBC_ENABLED, SDK_VERSION, IBC_GO_VERSION, and CUSTOM_MODULES captured.
Spawn scanning agents in a single message for maximum parallelism. Use the Agent Prompt Template below, filling in the reference file for each agent. Subagents only need read access (Grep, Glob, Read) — they return findings in their response and the main skill writes the files.
Always spawn these 3 agents:
| Agent Name | Reference File | Scope |
|------------|---------------|-------|
| core-scanner | VULNERABILITY_PATTERNS.md | §1-9: non-determinism, ABCI, signers, validation, handlers, ante security |
| state-scanner | STATE_VULNERABILITY_PATTERNS.md | §11-23: bookkeeping, bank, pagination, events, tx replay, governance, arithmetic, encoding, deprecated modules |
| advanced-scanner | ADVANCED_VULNERABILITY_PATTERNS.md | §24-27: storage keys, consensus validation, circuit breaker, crypto |
Spawn conditionally (in the same parallel message):
| Agent Name | Condition | Reference File |
|------------|-----------|---------------|
| evm-scanner | PLATFORM includes evm | EVM_VULNERABILITY_PATTERNS.md |
| ibc-scanner | IBC_ENABLED is true | IBC_VULNERABILITY_PATTERNS.md |
| cosmwasm-scanner | PLATFORM includes wasm | COSMWASM_VULNERABILITY_PATTERNS.md |
Construct each agent's prompt by replacing {REFERENCE_FILE_PATH} with the full path to the reference file (under {baseDir}/resources/) and {CLAUDE_MD_PATH} with the path to the CLAUDE.md written in Phase 1:
Perform a very thorough security scan of a Cosmos SDK codebase for specific vulnerability patterns.
CONTEXT:
Read {CLAUDE_MD_PATH} for codebase context (SDK version, modules, threat model, key files).
PATTERNS:
Read {REFERENCE_FILE_PATH} — it contains numbered vulnerability patterns. For EACH pattern:
1. Read the detection patterns and "What to Check" items
2. Use Grep and Glob to search the target codebase for each pattern
3. When a match is found, Read surrounding code to verify it's on a consensus-critical path (BeginBlock, EndBlock, FinalizeBlock, msg_server handlers, AnteHandler)
4. Classify severity per the guidelines below
RULES:
- Consensus path only: Only flag code reachable from consensus-critical execution. CLI/query/test code is NOT a finding.
- Check SDK version in go.mod before applying patterns (v0.47 removed GetSigners, v0.50 added ABCI 2.0, v0.53 deprecated ValidateBasic).
- Always use the Grep tool for searches, not bash grep. The reference file contains search patterns — use them directly with the Grep tool.
- Ignore cross-references to other resource files (e.g., links to IBC or COSMWASM patterns). Those patterns are covered by other scanning agents.
- Reject these rationalizations:
- "ValidateBasic catches this" — deprecated and facultative since SDK v0.53
- "Behind governance, so safe" — governance proposals can be malicious
- "IBC counterparty is trusted" — any chain can open a channel
- "Panic can't happen, input is validated" — trace the full call chain
- "Rounding error is only a few tokens" — compounds over time, can be looped
- "EVM precompile handles rollback" — many have incomplete rollback
SEVERITY:
- Critical (fund loss): signer mismatch, broken bookkeeping, AnteHandler bypass, bank keeper misuse, IBC token inflation, EVM/Cosmos desync, Merkle proof forgery, arithmetic overflow
- High (chain halt): non-determinism, ABCI panics, slow ABCI, non-deterministic IBC acks, consensus gaps, CacheContext event leak
- Medium (DoS): unbounded pagination, tx replay, missing validation, governance spam, rate limiting, circuit breaker bypass, storage key collisions
- Low (logic): rounding errors, stub handlers, event override, module ordering
OUTPUT — RETURN FORMAT:
Do NOT write any files. Return ALL findings and the summary in your response.
For each pattern, return one of:
§NUM PATTERN_NAME: Not applicable — [one-line reason]
§NUM PATTERN_NAME: FINDING (followed by the finding block below)
For each finding, include the full content using this template:
FINDING_FILE: {SEVERITY}-s{SECTION_NUM}-{kebab-description}.md
## [SEVERITY] Title
**Location**: `file:line`
**Description**: What the bug is and why it matters
**Vulnerable Code**: [snippet]
**Attack Scenario**: [numbered steps]
**Recommendation**: How to fix
**References**: [links to relevant advisories or building-secure-contracts]
You MUST report on ALL patterns in the reference file — do not skip any.
Exit: All scanning agents returned. Each reported on every pattern in their reference file.
After all scanning agents return, write finding files to the output directory (default .bughunt_cosmos/):
FINDING_FILE: blocks{OUTPUT_DIR}/{filename} using the filename from FINDING_FILE:After writing all findings, verify every pattern was assessed:
core-scanner: 8 patterns (§1-9, excluding §8 legacy-only)state-scanner: 13 patterns (§11-23)advanced-scanner: 4 patterns (§24-27)evm-scanner (if spawned): 10 patterns (§1-10)ibc-scanner (if spawned): 16 patterns (§1-16)cosmwasm-scanner (if spawned): 3 patterns (§1-3)Glob for *.mdExit: All patterns accounted for. Finding files listed for the user.
building-secure-contracts/not-so-smart-contracts/cosmos/tools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.